Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	59354
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.2 MiB
Average record size in memory	144.0 B

Variable types

Numeric	9
Categorical	9

Warnings

`Price` is highly correlated with `Area`	High correlation
`Number of rooms` is highly correlated with `Area`	High correlation
`Area` is highly correlated with `Price` and 1 other fields	High correlation
`Garden Area` is highly correlated with `Surface of the land`	High correlation
`Surface of the land` is highly correlated with `Garden Area`	High correlation
`Price` is highly correlated with `Area` and 1 other fields	High correlation
`Number of rooms` is highly correlated with `Area` and 1 other fields	High correlation
`Area` is highly correlated with `Price` and 2 other fields	High correlation
`Garden Area` is highly correlated with `Surface of the land`	High correlation
`Surface of the land` is highly correlated with `Price` and 3 other fields	High correlation
`Number of rooms` is highly correlated with `Area` and 1 other fields	High correlation
`Area` is highly correlated with `Number of rooms` and 1 other fields	High correlation
`Surface of the land` is highly correlated with `Number of rooms` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `Type of property`	High correlation
`Surface of the land` is highly correlated with `Garden Area`	High correlation
`Locality` is highly correlated with `Province` and 1 other fields	High correlation
`Area` is highly correlated with `Number of rooms`	High correlation
`Number of rooms` is highly correlated with `Area`	High correlation
`Garden Area` is highly correlated with `Surface of the land`	High correlation
`Province` is highly correlated with `Locality` and 1 other fields	High correlation
`Region` is highly correlated with `Locality` and 1 other fields	High correlation
`Type of property` is highly correlated with `Unnamed: 0`	High correlation
`Province` is highly correlated with `Region`	High correlation
`Region` is highly correlated with `Province`	High correlation
`Number of rooms` is highly skewed (γ1 = 22.35695618)	Skewed
`Terrace Area` is highly skewed (γ1 = 83.44226517)	Skewed
`Garden Area` is highly skewed (γ1 = 187.3438513)	Skewed
`Surface of the land` is highly skewed (γ1 = 185.9877999)	Skewed
`PriceperMeter` is highly skewed (γ1 = 113.6810042)	Skewed
`Unnamed: 0` has unique values	Unique
`Number of rooms` has 685 (1.2%) zeros	Zeros
`Terrace Area` has 37451 (63.1%) zeros	Zeros
`Garden Area` has 49295 (83.1%) zeros	Zeros

Reproduction

Analysis started	2021-05-31 14:08:56.479474
Analysis finished	2021-05-31 14:09:08.670319
Duration	12.19 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	59354
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29897.7879

Minimum	0
Maximum	59615
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2967.65
Q1	15100.25
median	29938.5
Q3	44776.75
95-th percentile	56647.35
Maximum	59615
Range	59615
Interquartile range (IQR)	29676.5

Descriptive statistics

Standard deviation	17193.88567
Coefficient of variation (CV)	0.5750888904
Kurtosis	-1.194182304
Mean	29897.7879
Median Absolute Deviation (MAD)	14838.5
Skewness	-0.008322199244
Sum	1774553303
Variance	295629704.4
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
38200	1	< 0.1%
34106	1	< 0.1%
36155	1	< 0.1%
46396	1	< 0.1%
48445	1	< 0.1%
42302	1	< 0.1%
44351	1	< 0.1%
21856	1	< 0.1%
23905	1	< 0.1%
Other values (59344)	59344	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
59615	1	< 0.1%
59614	1	< 0.1%
59613	1	< 0.1%
59612	1	< 0.1%
59611	1	< 0.1%
59610	1	< 0.1%
59609	1	< 0.1%
59608	1	< 0.1%
59607	1	< 0.1%
59606	1	< 0.1%

Locality
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	972
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5303.593288

Minimum	1000
Maximum	9991
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	1000
5-th percentile	1060
Q1	2200
median	4960
Q3	8430
95-th percentile	9340
Maximum	9991
Range	8991
Interquartile range (IQR)	6230

Descriptive statistics

Standard deviation	3075.732929
Coefficient of variation (CV)	0.579933785
Kurtosis	-1.595137598
Mean	5303.593288
Median Absolute Deviation (MAD)	3260
Skewness	-0.02947427814
Sum	314789476
Variance	9460133.052
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1050	1131	1.9%
8400	1119	1.9%
1180	1082	1.8%
9000	1070	1.8%
8300	1065	1.8%
2000	975	1.6%
1000	877	1.5%
4000	812	1.4%
8000	665	1.1%
8370	658	1.1%
Other values (962)	49900	84.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1000	877	1.5%
1020	110	0.2%
1030	319	0.5%
1040	370	0.6%
1050	1131	1.9%
1060	185	0.3%
1070	433	0.7%
1080	266	0.4%
1081	105	0.2%
1082	75	0.1%

Value	Count	Frequency (%)
9991	60	0.1%
9990	46	0.1%
9988	4	< 0.1%
9982	1	< 0.1%
9980	4	< 0.1%
9971	15	< 0.1%
9970	3	< 0.1%
9968	9	< 0.1%
9961	1	< 0.1%
9960	6	< 0.1%

Type of property
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

apartment	33341
house	26013

Length

Max length	9
Median length	9
Mean length	7.246925228
Min length	5

Characters and Unicode

Total characters	430134
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	apartment
2nd row	apartment
3rd row	apartment
4th row	apartment
5th row	apartment

Common Values

Value	Count	Frequency (%)
apartment	33341	56.2%
house	26013	43.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
apartment	33341	56.2%
house	26013	43.8%

Most occurring characters

Value	Count	Frequency (%)
a	66682	15.5%
t	66682	15.5%
e	59354	13.8%
p	33341	7.8%
r	33341	7.8%
m	33341	7.8%
n	33341	7.8%
h	26013	6.0%
o	26013	6.0%
u	26013	6.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	430134	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	66682	15.5%
t	66682	15.5%
e	59354	13.8%
p	33341	7.8%
r	33341	7.8%
m	33341	7.8%
n	33341	7.8%
h	26013	6.0%
o	26013	6.0%
u	26013	6.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	430134	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	66682	15.5%
t	66682	15.5%
e	59354	13.8%
p	33341	7.8%
r	33341	7.8%
m	33341	7.8%
n	33341	7.8%
h	26013	6.0%
o	26013	6.0%
u	26013	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	430134	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	66682	15.5%
t	66682	15.5%
e	59354	13.8%
p	33341	7.8%
r	33341	7.8%
m	33341	7.8%
n	33341	7.8%
h	26013	6.0%
o	26013	6.0%
u	26013	6.0%

Price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	7344
Distinct (%)	12.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	370636.9388

Minimum	33500
Maximum	9876543
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	33500
5-th percentile	126999.65
Q1	209999
median	276658
Q3	385000
95-th percentile	894999
Maximum	9876543
Range	9843043
Interquartile range (IQR)	175001

Descriptive statistics

Standard deviation	382064.1726
Coefficient of variation (CV)	1.030831341
Kurtosis	59.8741589
Mean	370636.9388
Median Absolute Deviation (MAD)	81658
Skewness	6.068615237
Sum	2.199878487 × 10¹⁰
Variance	1.45973032 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
249000	620	1.0%
299000	591	1.0%
295000	554	0.9%
225000	525	0.9%
275000	486	0.8%
199000	485	0.8%
235000	479	0.8%
265000	419	0.7%
325000	418	0.7%
285000	413	0.7%
Other values (7334)	54364	91.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
33500	1	< 0.1%
34000	1	< 0.1%
34999	3	< 0.1%
35000	4	< 0.1%
37000	1	< 0.1%
37999	1	< 0.1%
39000	2	< 0.1%
39900	1	< 0.1%
39999	4	< 0.1%
40000	9	< 0.1%

Value	Count	Frequency (%)
9876543	1	< 0.1%
9500000	1	< 0.1%
8500000	1	< 0.1%
6500000	2	< 0.1%
6499999	1	< 0.1%
6399999	1	< 0.1%
5950000	5	< 0.1%
5949999	3	< 0.1%
5849999	1	< 0.1%
5449999	1	< 0.1%

Number of rooms
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	32
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.686120565

Minimum	0
Maximum	165
Zeros	685
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2.6
Q3	3
95-th percentile	5
Maximum	165
Range	165
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.554511204
Coefficient of variation (CV)	0.5787198177
Kurtosis	2049.588682
Mean	2.686120565
Median Absolute Deviation (MAD)	0.6
Skewness	22.35695618
Sum	159432
Variance	2.416505082
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
2	21823	36.8%
3	18316	30.9%
1	7016	11.8%
4	6664	11.2%
5	2473	4.2%
6	1000	1.7%
0	685	1.2%
2.6	590	1.0%
7	319	0.5%
8	207	0.3%
Other values (22)	261	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	685	1.2%
1	7016	11.8%
2	21823	36.8%
2.6	590	1.0%
3	18316	30.9%
4	6664	11.2%
5	2473	4.2%
6	1000	1.7%
7	319	0.5%
8	207	0.3%

Value	Count	Frequency (%)
165	1	< 0.1%
50	1	< 0.1%
40	1	< 0.1%
37	1	< 0.1%
34	2	< 0.1%
32	1	< 0.1%
30	3	< 0.1%
25	3	< 0.1%
24	3	< 0.1%
22	1	< 0.1%

Area
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	771
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	149.5463153

Minimum	1
Maximum	11366
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	1
5-th percentile	55
Q1	88
median	119
Q3	170
95-th percentile	344
Maximum	11366
Range	11365
Interquartile range (IQR)	82

Descriptive statistics

Standard deviation	130.3195885
Coefficient of variation (CV)	0.8714329617
Kurtosis	1022.147654
Mean	149.5463153
Median Absolute Deviation (MAD)	37
Skewness	16.55504415
Sum	8876172
Variance	16983.19514
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	1201	2.0%
90	1136	1.9%
120	1017	1.7%
110	1003	1.7%
80	983	1.7%
150	927	1.6%
85	901	1.5%
140	866	1.5%
130	836	1.4%
95	833	1.4%
Other values (761)	49651	83.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	< 0.1%
5	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
12	1	< 0.1%
13	3	< 0.1%
14	1	< 0.1%
15	16	< 0.1%
16	30	0.1%
17	26	< 0.1%

Value	Count	Frequency (%)
11366	1	< 0.1%
4000	3	< 0.1%
3989	1	< 0.1%
3621	1	< 0.1%
3600	1	< 0.1%
2880	1	< 0.1%
2600	1	< 0.1%
2500	4	< 0.1%
2000	1	< 0.1%
1925	2	< 0.1%

Fully equipped kitchen
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

0.0	51127
1.0	8227

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	178062
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	51127	86.1%
1.0	8227	13.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	51127	86.1%
1.0	8227	13.9%

Most occurring characters

Value	Count	Frequency (%)
0	110481	62.0%
.	59354	33.3%
1	8227	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118708	66.7%
Other Punctuation	59354	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	110481	93.1%
1	8227	6.9%

Other Punctuation

Value	Count	Frequency (%)
.	59354	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178062	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	110481	62.0%
.	59354	33.3%
1	8227	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	110481	62.0%
.	59354	33.3%
1	8227	4.6%

Furnished
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

0.0	57208
1.0	2146

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	178062
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	57208	96.4%
1.0	2146	3.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	57208	96.4%
1.0	2146	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	116562	65.5%
.	59354	33.3%
1	2146	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118708	66.7%
Other Punctuation	59354	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	116562	98.2%
1	2146	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	59354	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178062	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	116562	65.5%
.	59354	33.3%
1	2146	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	116562	65.5%
.	59354	33.3%
1	2146	1.2%

Open fire
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

0.0	57017
1.0	2337

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	178062
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	57017	96.1%
1.0	2337	3.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	57017	96.1%
1.0	2337	3.9%

Most occurring characters

Value	Count	Frequency (%)
0	116371	65.4%
.	59354	33.3%
1	2337	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118708	66.7%
Other Punctuation	59354	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	116371	98.0%
1	2337	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	59354	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178062	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	116371	65.4%
.	59354	33.3%
1	2337	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	116371	65.4%
.	59354	33.3%
1	2337	1.3%

Terrace Area
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	304
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.63459918

Minimum	0
Maximum	9636
Zeros	37451
Zeros (%)	63.1%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	11
95-th percentile	44.35
Maximum	9636
Range	9636
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	62.09448707
Coefficient of variation (CV)	5.838911838
Kurtosis	10898.802
Mean	10.63459918
Median Absolute Deviation (MAD)	0
Skewness	83.44226517
Sum	631206
Variance	3855.725325
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37451	63.1%
10	1402	2.4%
20	1077	1.8%
12	1040	1.8%
15	1028	1.7%
8	1001	1.7%
6	906	1.5%
9	896	1.5%
14	722	1.2%
7	694	1.2%
Other values (294)	13137	22.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37451	63.1%
1	81	0.1%
2	316	0.5%
3	365	0.6%
4	622	1.0%
5	618	1.0%
6	906	1.5%
7	694	1.2%
8	1001	1.7%
9	896	1.5%

Value	Count	Frequency (%)
9636	1	< 0.1%
4547	1	< 0.1%
4000	1	< 0.1%
3800	1	< 0.1%
3000	1	< 0.1%
1958	1	< 0.1%
1890	1	< 0.1%
1613	1	< 0.1%
1500	3	< 0.1%
1463	1	< 0.1%

Garden Area
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	1163
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	147.9400714

Minimum	0
Maximum	950002
Zeros	49295
Zeros (%)	83.1%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	366.7
Maximum	950002
Range	950002
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4291.863315
Coefficient of variation (CV)	29.01082359
Kurtosis	40617.19413
Mean	147.9400714
Median Absolute Deviation (MAD)	0
Skewness	187.3438513
Sum	8780835
Variance	18420090.71
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	49295	83.1%
100	294	0.5%
200	252	0.4%
50	232	0.4%
300	201	0.3%
150	188	0.3%
500	163	0.3%
40	154	0.3%
60	152	0.3%
30	151	0.3%
Other values (1153)	8272	13.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	49295	83.1%
1	108	0.2%
2	1	< 0.1%
3	6	< 0.1%
4	8	< 0.1%
5	6	< 0.1%
6	13	< 0.1%
7	14	< 0.1%
8	18	< 0.1%
9	17	< 0.1%

Value	Count	Frequency (%)
950002	1	< 0.1%
235000	1	< 0.1%
150000	1	< 0.1%
100000	1	< 0.1%
80978	1	< 0.1%
80000	3	< 0.1%
75000	1	< 0.1%
65000	2	< 0.1%
54515	1	< 0.1%
54000	1	< 0.1%

Surface of the land
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	2065
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	308.1209859

Minimum	1
Maximum	950852
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	1
5-th percentile	58
Q1	95
median	135
Q3	213
95-th percentile	668
Maximum	950852
Range	950851
Interquartile range (IQR)	118

Descriptive statistics

Standard deviation	4305.753659
Coefficient of variation (CV)	13.97423043
Kurtosis	40213.19274
Mean	308.1209859
Median Absolute Deviation (MAD)	48
Skewness	185.9877999
Sum	18288213
Variance	18539514.57
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	858	1.4%
90	770	1.3%
120	736	1.2%
110	723	1.2%
80	691	1.2%
150	665	1.1%
140	655	1.1%
130	648	1.1%
105	634	1.1%
95	612	1.0%
Other values (2055)	52362	88.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
5	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
12	1	< 0.1%
13	2	< 0.1%
14	1	< 0.1%
15	15	< 0.1%
16	25	< 0.1%
17	25	< 0.1%

Value	Count	Frequency (%)
950852	1	< 0.1%
235240	1	< 0.1%
151340	1	< 0.1%
100220	1	< 0.1%
83228	1	< 0.1%
80245	1	< 0.1%
80216	1	< 0.1%
80195	1	< 0.1%
75830	1	< 0.1%
66500	1	< 0.1%

Number of facades
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

2.0	44306
4.0	7672
3.0	7015
1.0	361

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	178062
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
2.0	44306	74.6%
4.0	7672	12.9%
3.0	7015	11.8%
1.0	361	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	44306	74.6%
4.0	7672	12.9%
3.0	7015	11.8%
1.0	361	0.6%

Most occurring characters

Value	Count	Frequency (%)
.	59354	33.3%
0	59354	33.3%
2	44306	24.9%
4	7672	4.3%
3	7015	3.9%
1	361	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118708	66.7%
Other Punctuation	59354	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	59354	50.0%
2	44306	37.3%
4	7672	6.5%
3	7015	5.9%
1	361	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	59354	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178062	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	59354	33.3%
0	59354	33.3%
2	44306	24.9%
4	7672	4.3%
3	7015	3.9%
1	361	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	59354	33.3%
0	59354	33.3%
2	44306	24.9%
4	7672	4.3%
3	7015	3.9%
1	361	0.2%

Swimming pool
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

0.0	58381
1.0	973

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	178062
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	58381	98.4%
1.0	973	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	58381	98.4%
1.0	973	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	117735	66.1%
.	59354	33.3%
1	973	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118708	66.7%
Other Punctuation	59354	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	117735	99.2%
1	973	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	59354	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	178062	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	117735	66.1%
.	59354	33.3%
1	973	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	178062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	117735	66.1%
.	59354	33.3%
1	973	0.5%

State of the building
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

good	27056
medium	25699
to renovate	5349
new	1250

Length

Max length	11
Median length	6
Mean length	5.475738788
Min length	3

Characters and Unicode

Total characters	325007
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	medium
2nd row	medium
3rd row	medium
4th row	medium
5th row	medium

Common Values

Value	Count	Frequency (%)
good	27056	45.6%
medium	25699	43.3%
to renovate	5349	9.0%
new	1250	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
good	27056	41.8%
medium	25699	39.7%
renovate	5349	8.3%
to	5349	8.3%
new	1250	1.9%

Most occurring characters

Value	Count	Frequency (%)
o	64810	19.9%
d	52755	16.2%
m	51398	15.8%
e	37647	11.6%
g	27056	8.3%
i	25699	7.9%
u	25699	7.9%
t	10698	3.3%
n	6599	2.0%
	5349	1.6%
Other values (4)	17297	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	319658	98.4%
Space Separator	5349	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	64810	20.3%
d	52755	16.5%
m	51398	16.1%
e	37647	11.8%
g	27056	8.5%
i	25699	8.0%
u	25699	8.0%
t	10698	3.3%
n	6599	2.1%
r	5349	1.7%
Other values (3)	11948	3.7%

Space Separator

Value	Count	Frequency (%)
	5349	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	319658	98.4%
Common	5349	1.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	64810	20.3%
d	52755	16.5%
m	51398	16.1%
e	37647	11.8%
g	27056	8.5%
i	25699	8.0%
u	25699	8.0%
t	10698	3.3%
n	6599	2.1%
r	5349	1.7%
Other values (3)	11948	3.7%

Common

Value	Count	Frequency (%)
	5349	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	325007	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	64810	19.9%
d	52755	16.2%
m	51398	15.8%
e	37647	11.6%
g	27056	8.3%
i	25699	7.9%
u	25699	7.9%
t	10698	3.3%
n	6599	2.0%
	5349	1.6%
Other values (4)	17297	5.3%

Province
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

Flandre Occidental	12626
Flandre Oriental	7352
Hainaut	7096
Brussel	6982
Anvers	6903
Other values (6)	18395

Length

Max length	18
Median length	8
Mean length	11.14202918
Min length	5

Characters and Unicode

Total characters	661324
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Anvers
2nd row	Brabant Flamand
3rd row	Flandre Occidental
4th row	Anvers
5th row	Anvers

Common Values

Value	Count	Frequency (%)
Flandre Occidental	12626	21.3%
Flandre Oriental	7352	12.4%
Hainaut	7096	12.0%
Brussel	6982	11.8%
Anvers	6903	11.6%
Liège	5652	9.5%
Brabant Flamand	4592	7.7%
Brabant Wallon	2838	4.8%
Limbourg	2756	4.6%
Namur	1606	2.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
flandre	19978	23.0%
occidental	12626	14.6%
brabant	7430	8.6%
oriental	7352	8.5%
hainaut	7096	8.2%
brussel	6982	8.0%
anvers	6903	8.0%
liège	5652	6.5%
flamand	4592	5.3%
wallon	2838	3.3%
Other values (3)	5313	6.1%

Most occurring characters

Value	Count	Frequency (%)
a	82636	12.5%
n	68815	10.4%
e	60444	9.1%
l	57206	8.7%
r	53958	8.2%
d	37196	5.6%
i	35482	5.4%
t	34504	5.2%
	27408	4.1%
c	25252	3.8%
Other values (17)	178423	27.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	547154	82.7%
Uppercase Letter	86762	13.1%
Space Separator	27408	4.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	82636	15.1%
n	68815	12.6%
e	60444	11.0%
l	57206	10.5%
r	53958	9.9%
d	37196	6.8%
i	35482	6.5%
t	34504	6.3%
c	25252	4.6%
s	20867	3.8%
Other values (8)	70794	12.9%

Uppercase Letter

Value	Count	Frequency (%)
F	24570	28.3%
O	19978	23.0%
B	14412	16.6%
L	9359	10.8%
H	7096	8.2%
A	6903	8.0%
W	2838	3.3%
N	1606	1.9%

Space Separator

Value	Count	Frequency (%)
	27408	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	633916	95.9%
Common	27408	4.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	82636	13.0%
n	68815	10.9%
e	60444	9.5%
l	57206	9.0%
r	53958	8.5%
d	37196	5.9%
i	35482	5.6%
t	34504	5.4%
c	25252	4.0%
F	24570	3.9%
Other values (16)	153853	24.3%

Common

Value	Count	Frequency (%)
	27408	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	655672	99.1%
Latin 1 Sup	5652	0.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	82636	12.6%
n	68815	10.5%
e	60444	9.2%
l	57206	8.7%
r	53958	8.2%
d	37196	5.7%
i	35482	5.4%
t	34504	5.3%
	27408	4.2%
c	25252	3.9%
Other values (16)	172771	26.4%

Latin 1 Sup

Value	Count	Frequency (%)
è	5652	100.0%

Region
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	463.8 KiB

Flanders	34229
Wallonia	18143
Brussel	6982

Length

Max length	8
Median length	8
Mean length	7.882366816
Min length	7

Characters and Unicode

Total characters	467850
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flanders
2nd row	Flanders
3rd row	Flanders
4th row	Flanders
5th row	Flanders

Common Values

Value	Count	Frequency (%)
Flanders	34229	57.7%
Wallonia	18143	30.6%
Brussel	6982	11.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
flanders	34229	57.7%
wallonia	18143	30.6%
brussel	6982	11.8%

Most occurring characters

Value	Count	Frequency (%)
l	77497	16.6%
a	70515	15.1%
n	52372	11.2%
s	48193	10.3%
e	41211	8.8%
r	41211	8.8%
F	34229	7.3%
d	34229	7.3%
W	18143	3.9%
o	18143	3.9%
Other values (3)	32107	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	408496	87.3%
Uppercase Letter	59354	12.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	77497	19.0%
a	70515	17.3%
n	52372	12.8%
s	48193	11.8%
e	41211	10.1%
r	41211	10.1%
d	34229	8.4%
o	18143	4.4%
i	18143	4.4%
u	6982	1.7%

Uppercase Letter

Value	Count	Frequency (%)
F	34229	57.7%
W	18143	30.6%
B	6982	11.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	467850	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	77497	16.6%
a	70515	15.1%
n	52372	11.2%
s	48193	10.3%
e	41211	8.8%
r	41211	8.8%
F	34229	7.3%
d	34229	7.3%
W	18143	3.9%
o	18143	3.9%
Other values (3)	32107	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	467850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	77497	16.6%
a	70515	15.1%
n	52372	11.2%
s	48193	10.3%
e	41211	8.8%
r	41211	8.8%
F	34229	7.3%
d	34229	7.3%
W	18143	3.9%
o	18143	3.9%
Other values (3)	32107	6.9%

PriceperMeter
Real number (ℝ_≥0)

SKEWED

Distinct	5852
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2709.809903

Minimum	109
Maximum	562499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	463.8 KiB

Quantile statistics

Minimum	109
5-th percentile	1000
Q1	1804
median	2441
Q3	3149
95-th percentile	5132
Maximum	562499
Range	562390
Interquartile range (IQR)	1345

Descriptive statistics

Standard deviation	3121.018553
Coefficient of variation (CV)	1.151748154
Kurtosis	18820.27894
Mean	2709.809903
Median Absolute Deviation (MAD)	668
Skewness	113.6810042
Sum	160838057
Variance	9740756.808
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2500	243	0.4%
3000	169	0.3%
2000	131	0.2%
1666	122	0.2%
2499	113	0.2%
1500	108	0.2%
2333	100	0.2%
2142	86	0.1%
2250	86	0.1%
2600	79	0.1%
Other values (5842)	58117	97.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
109	1	< 0.1%
113	1	< 0.1%
166	2	< 0.1%
167	1	< 0.1%
189	1	< 0.1%
190	1	< 0.1%
211	1	< 0.1%
214	1	< 0.1%
220	1	< 0.1%
230	1	< 0.1%

Value	Count	Frequency (%)
562499	1	< 0.1%
294999	1	< 0.1%
143000	1	< 0.1%
99999	1	< 0.1%
48536	1	< 0.1%
41249	1	< 0.1%
37312	1	< 0.1%
37142	1	< 0.1%
34999	1	< 0.1%
30813	2	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Unnamed: 0	Locality	Type of property	Price	Number of rooms	Area	Terrace Area	Surface of the land	Number of facades	State of the building	Province	Region	PriceperMeter
0	0	2970	apartment	764999.0	2.0	153.0	62.0	215.0	2.0	medium	Anvers	Flanders	4999.0
1	1	3200	apartment	294999.0	2.0	80.0	0.0	80.0	2.0	medium	Brabant Flamand	Flanders	3687.0
2	2	8211	apartment	233999.0	2.0	90.0	0.0	90.0	2.0	medium	Flandre Occidental	Flanders	2599.0
3	3	2630	apartment	329899.0	1.0	87.0	28.0	115.0	2.0	medium	Anvers	Flanders	3791.0
4	4	2630	apartment	359899.0	1.0	95.0	47.0	142.0	4.0	medium	Anvers	Flanders	3788.0
5	5	4432	apartment	248999.0	3.0	125.0	0.0	125.0	2.0	medium	Liège	Wallonia	1991.0
6	6	4432	apartment	412299.0	2.0	125.0	0.0	125.0	4.0	medium	Liège	Wallonia	3298.0
7	7	9300	apartment	144999.0	1.0	70.0	0.0	70.0	2.0	medium	Flandre Oriental	Flanders	2071.0
8	8	9300	apartment	238999.0	1.0	47.0	0.0	47.0	2.0	medium	Flandre Oriental	Flanders	5085.0
9	9	9300	apartment	129999.0	1.0	67.0	0.0	67.0	2.0	medium	Flandre Oriental	Flanders	1940.0

Last rows

	Unnamed: 0	Locality	Type of property	Price	Number of rooms	Area	Terrace Area	Garden Area	Surface of the land	Number of facades	State of the building	Province	Region	PriceperMeter
59344	59606	4600	house	511376.0	3.0	203.0	49.0	0.0	252.0	4.0	medium	Liège	Wallonia	2519.0
59345	59607	8610	house	257211.0	3.0	134.0	0.0	0.0	134.0	3.0	medium	Flandre Occidental	Flanders	1919.0
59346	59608	7880	house	332200.0	3.0	170.0	0.0	0.0	170.0	4.0	medium	Hainaut	Wallonia	1954.0
59347	59609	7880	house	334900.0	3.0	165.0	0.0	0.0	165.0	4.0	medium	Hainaut	Wallonia	2029.0
59348	59610	7880	house	340500.0	3.0	167.0	0.0	0.0	167.0	4.0	medium	Hainaut	Wallonia	2038.0
59349	59611	8902	house	307242.0	3.0	150.0	0.0	0.0	150.0	3.0	medium	Flandre Occidental	Flanders	2048.0
59350	59612	9600	house	315000.0	3.0	150.0	0.0	0.0	150.0	3.0	good	Flandre Oriental	Flanders	2100.0
59351	59613	9600	house	315000.0	3.0	150.0	0.0	0.0	150.0	3.0	good	Flandre Oriental	Flanders	2100.0
59352	59614	6000	house	175000.0	4.0	205.0	23.0	600.0	828.0	2.0	medium	Hainaut	Wallonia	853.0
59353	59615	6000	house	185000.0	4.0	200.0	23.0	800.0	1023.0	3.0	medium	Hainaut	Wallonia	925.0

Overview

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Length

Pie chart

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Lowercase Letter

Most occurring scripts

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Latin

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ASCII

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Length

Pie chart

Most occurring characters

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Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts